Triple
T2933821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl |
E79216
|
entity |
| Predicate | variantSpelling |
P457
|
FINISHED |
| Object |
Carl
Carl is a masculine given name of Germanic origin, commonly used in many European and English-speaking countries.
|
E248242
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Carl | Statement: [Karl, variantSpelling, Carl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Context triple: [Karl, variantSpelling, Carl]
-
A.
Carl
Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
-
B.
Carl
Carl is the given name of the 19th-century German mathematician Carl Gustav Jacob Jacobi, renowned for his foundational work in elliptic functions and other areas of mathematics.
-
C.
Carl
Carl is a central character in the British comedy film "The Boat That Rocked," portrayed as a young man who joins a pirate radio ship in the 1960s and comes of age amid its rebellious DJs and rock music culture.
-
D.
Carl
Carl is the given name of the influential American microbiologist Carl Woese, known for defining the Archaea domain of life.
-
E.
Carl
Carl is a supporting character in the classic film "Casablanca," working at Rick Blaine's nightclub, Rick's Café Américain.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Carl Triple: [Karl, variantSpelling, Carl]
Generated description
Carl is a masculine given name of Germanic origin, commonly used in many European and English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carl Target entity description: Carl is a masculine given name of Germanic origin, commonly used in many European and English-speaking countries.
-
A.
Carl
chosen
Carl is a masculine given name of Germanic origin that is related to Charles and commonly used in many English-speaking and European countries.
-
B.
Carl
Carl is the given name of Carl Philipp Emanuel Bach, an influential 18th-century German composer and musician of the Classical period.
-
C.
Carl
Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
-
D.
Carl
Carl is the given name of Charles I Louis, the 17th-century Elector Palatine of the Rhine in the Holy Roman Empire.
-
E.
Carl
Carl is the given name of the 19th-century German mathematician Carl Gustav Jacob Jacobi, renowned for his foundational work in elliptic functions and other areas of mathematics.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad983b65f881909b8b7d3dc5c224fd |
completed | March 8, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108d4e5408190a0dd3728c5cf6a47 |
completed | March 11, 2026, 6:16 a.m. |
| NEDg | Description generation | batch_69b10ccadf608190b2032ebb51271c90 |
completed | March 11, 2026, 6:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10d3e846481909a4342d844071040 |
completed | March 11, 2026, 6:35 a.m. |
Created at: March 8, 2026, 2:56 p.m.